{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 19: Mean Entropic Drawdown at Risk (EDaR) Optimization\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "yf.pdr_override()\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>-2.0257%</td>\n",
       "      <td>0.4057%</td>\n",
       "      <td>0.4035%</td>\n",
       "      <td>1.9693%</td>\n",
       "      <td>0.0180%</td>\n",
       "      <td>0.9305%</td>\n",
       "      <td>0.3678%</td>\n",
       "      <td>0.5783%</td>\n",
       "      <td>0.9483%</td>\n",
       "      <td>-1.1954%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5881%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>2.8236%</td>\n",
       "      <td>0.9758%</td>\n",
       "      <td>0.6987%</td>\n",
       "      <td>1.7539%</td>\n",
       "      <td>-0.1730%</td>\n",
       "      <td>0.2410%</td>\n",
       "      <td>1.3734%</td>\n",
       "      <td>-1.0857%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-11.4863%</td>\n",
       "      <td>-1.5879%</td>\n",
       "      <td>0.2412%</td>\n",
       "      <td>-1.7557%</td>\n",
       "      <td>-0.7727%</td>\n",
       "      <td>-1.2473%</td>\n",
       "      <td>-0.1736%</td>\n",
       "      <td>-1.1239%</td>\n",
       "      <td>-3.5867%</td>\n",
       "      <td>-0.9551%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5547%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>0.1592%</td>\n",
       "      <td>-1.5646%</td>\n",
       "      <td>-0.1466%</td>\n",
       "      <td>-1.0155%</td>\n",
       "      <td>-0.7653%</td>\n",
       "      <td>-3.0048%</td>\n",
       "      <td>-0.9034%</td>\n",
       "      <td>-2.9145%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-5.1389%</td>\n",
       "      <td>-4.1922%</td>\n",
       "      <td>-1.6573%</td>\n",
       "      <td>-2.7699%</td>\n",
       "      <td>-1.1047%</td>\n",
       "      <td>-1.9769%</td>\n",
       "      <td>-1.2207%</td>\n",
       "      <td>-0.8855%</td>\n",
       "      <td>-4.6059%</td>\n",
       "      <td>-2.5394%</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.2066%</td>\n",
       "      <td>-3.0309%</td>\n",
       "      <td>-1.0410%</td>\n",
       "      <td>-3.1557%</td>\n",
       "      <td>-1.6148%</td>\n",
       "      <td>-0.2700%</td>\n",
       "      <td>-2.2845%</td>\n",
       "      <td>-2.0570%</td>\n",
       "      <td>-0.5492%</td>\n",
       "      <td>-3.0019%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>0.2737%</td>\n",
       "      <td>-2.2705%</td>\n",
       "      <td>-1.6037%</td>\n",
       "      <td>-2.5425%</td>\n",
       "      <td>0.1099%</td>\n",
       "      <td>-0.2241%</td>\n",
       "      <td>0.5707%</td>\n",
       "      <td>-1.6402%</td>\n",
       "      <td>-1.7641%</td>\n",
       "      <td>-0.1649%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1538%</td>\n",
       "      <td>-1.1366%</td>\n",
       "      <td>-0.7308%</td>\n",
       "      <td>-0.1448%</td>\n",
       "      <td>0.0895%</td>\n",
       "      <td>-3.3839%</td>\n",
       "      <td>-0.1117%</td>\n",
       "      <td>-1.1386%</td>\n",
       "      <td>-0.9719%</td>\n",
       "      <td>-1.1254%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>-4.3384%</td>\n",
       "      <td>0.1693%</td>\n",
       "      <td>-1.6851%</td>\n",
       "      <td>-1.0215%</td>\n",
       "      <td>0.0915%</td>\n",
       "      <td>-1.1791%</td>\n",
       "      <td>0.5674%</td>\n",
       "      <td>0.5287%</td>\n",
       "      <td>0.6616%</td>\n",
       "      <td>0.0330%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6435%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.9869%</td>\n",
       "      <td>-0.1450%</td>\n",
       "      <td>1.2224%</td>\n",
       "      <td>1.4570%</td>\n",
       "      <td>0.5367%</td>\n",
       "      <td>-0.4607%</td>\n",
       "      <td>0.5800%</td>\n",
       "      <td>-1.9918%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                         \n",
       "2016-01-05  -2.0257%  0.4057%  0.4035%  1.9693%  0.0180%  0.9305%  0.3678%   \n",
       "2016-01-06 -11.4863% -1.5879%  0.2412% -1.7557% -0.7727% -1.2473% -0.1736%   \n",
       "2016-01-07  -5.1389% -4.1922% -1.6573% -2.7699% -1.1047% -1.9769% -1.2207%   \n",
       "2016-01-08   0.2737% -2.2705% -1.6037% -2.5425%  0.1099% -0.2241%  0.5707%   \n",
       "2016-01-11  -4.3384%  0.1693% -1.6851% -1.0215%  0.0915% -1.1791%  0.5674%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2016-01-05  0.5783%  0.9483% -1.1954%  ...  1.5881%  0.0212%  2.8236%   \n",
       "2016-01-06 -1.1239% -3.5867% -0.9551%  ...  0.5547%  0.0212%  0.1592%   \n",
       "2016-01-07 -0.8855% -4.6059% -2.5394%  ... -2.2066% -3.0309% -1.0410%   \n",
       "2016-01-08 -1.6402% -1.7641% -0.1649%  ... -0.1538% -1.1366% -0.7308%   \n",
       "2016-01-11  0.5287%  0.6616%  0.0330%  ...  1.6435%  0.0000%  0.9869%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2016-01-05  0.9758%  0.6987%  1.7539% -0.1730%  0.2410%  1.3734% -1.0857%  \n",
       "2016-01-06 -1.5646% -0.1466% -1.0155% -0.7653% -3.0048% -0.9034% -2.9145%  \n",
       "2016-01-07 -3.1557% -1.6148% -0.2700% -2.2845% -2.0570% -0.5492% -3.0019%  \n",
       "2016-01-08 -0.1448%  0.0895% -3.3839% -0.1117% -1.1386% -0.9719% -1.1254%  \n",
       "2016-01-11 -0.1450%  1.2224%  1.4570%  0.5367% -0.4607%  0.5800% -1.9918%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Mean EDaR Portfolios\n",
    "\n",
    "### 2.1 Calculating the portfolio that maximizes Return/EDaR ratio.\n",
    "\n",
    "The Entropic Drawdown at Risk (EDaR) is a risk measure derived from Entropic Value at Risk, that I developed when you apply the EVaR to drawdowns distribution:\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "\\text{EVaR}_{\\alpha}(X) & = \\inf_{z>0} \\left \\{z\\log \\left ( \\frac{1}{\\alpha} M_{\\text{DD}(X)} (\\frac{1}{z}) \\right ) \\right \\} \\\\\n",
    "\\text{DD}(X,j) & = \\max_{t \\in (0,j)} \\left ( \\sum_{i=0}^{t}X_{i} \\right )- \\sum_{i=0}^{j}X_{i} \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "Where $M_{X} (t) = \\text{E} [e^{tX}]$ is the moment generating function and $\\alpha \\in [0,1]$ is the significance level.\n",
    "    \n",
    "In a similar way than Markowitz model, the mean EDaR model can be expressed as one of the following problems:\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\min_{w,\\, z} & & \\mu w - \\lambda \\text{EDaR}_{\\alpha}(r w)\\\\\n",
    "& & & 1^{T}w = 1 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\max_{w,\\, z} & & \\frac{\\mu w - r_{f}}{\\lambda \\text{EDaR}_{\\alpha}(r w)}\\\\\n",
    "& & & 1^{T}w = 1 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\min_{w,\\, z} & & \\text{EDaR}_{\\alpha}(r w)\\\\\n",
    "& & & 1^{T}w = 1 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "Where $z$ is the factor of EDaR, $w$ are the weights of assets, $\\mu$ is the mean vector, $\\lambda$ is the risk aversion factor, $r$ is the returns matrix and $r_{f}$ the risk free rate.\n",
    "\n",
    "It is recommended to use MOSEK to optimize EDaR, due to it requires exponential cone programming to solve the problem.\n",
    "\n",
    "Instructions to install MOSEK are in this __[link](https://docs.mosek.com/9.2/install/installation.html)__, is better to install using Anaconda. Also you will need a license, I recommend you that ask for an academic license __[here](https://www.mosek.com/products/academic-licenses/)__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>42.7610%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>2.9817%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5146%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.3976%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.6113%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
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      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA      CNP     CPB      DE  \\\n",
       "weights 0.0000% 0.0000% 0.0000% 0.0000% 0.0000% 42.7610% 0.0000% 2.9817%   \n",
       "\n",
       "            HPQ     JCI  ...      NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 0.0000% 0.0000%  ... 0.5146% 0.0000% 0.0000% 0.0000% 0.0000% 0.3976%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 0.0000% 0.0000% 0.6113% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.Portfolio as pf\n",
    "\n",
    "# Building the portfolio object\n",
    "port = pf.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimum portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu, method_cov=method_cov, d=0.94)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "port.solvers = ['MOSEK'] # It is recommended to use mosek when optimizing EVaR \n",
    "port.alpha = 0.05 # Significance level for CVaR, EVaR y CDaR \n",
    "model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "rm = 'EDaR' # Risk measure used, this time will be EVaR\n",
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.PlotFunctions as plf\n",
    "\n",
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = plf.plot_pie(w=w, title='Sharpe Mean - Entropic Drawdown at Risk', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                  height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Calculate efficient frontier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0002%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>35.4973%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.6214%</td>\n",
       "      <td>5.7577%</td>\n",
       "      <td>13.9718%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0001%</td>\n",
       "      <td>0.0002%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.4239%</td>\n",
       "      <td>3.1925%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>42.9417%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.7803%</td>\n",
       "      <td>1.3017%</td>\n",
       "      <td>2.5991%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.5193%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.8473%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>42.9955%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.5768%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0057%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.1444%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.0497%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>5.3224%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>40.8520%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>2.6492%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.7297%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.0953%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>5.8182%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>42.0041%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>2.6455%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.2946%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.8486%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.0849%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      APA      BA     BAX     BMY   CMCSA      CNP     CPB      DE     HPQ  \\\n",
       "0 0.0000% 0.0002% 0.0000% 0.0000% 0.0000% 35.4973% 0.0000% 0.0000% 0.0000%   \n",
       "1 0.0000% 0.0000% 0.0000% 0.0000% 0.0000% 42.9417% 0.0000% 0.0000% 0.0000%   \n",
       "2 0.0000% 0.0000% 0.0000% 0.0000% 0.0000% 42.9955% 0.0000% 0.5768% 0.0000%   \n",
       "3 0.0000% 0.0000% 0.0000% 0.0000% 0.0000% 40.8520% 0.0000% 2.6492% 0.0000%   \n",
       "4 0.0000% 0.0000% 0.0000% 0.0000% 0.0000% 42.0041% 0.0000% 2.6455% 0.0000%   \n",
       "\n",
       "      JCI  ...      NI    PCAR      PSA     SEE       T     TGT     TMO  \\\n",
       "0 0.0000%  ... 2.6214% 5.7577% 13.9718% 0.0000% 0.0001% 0.0002% 0.0000%   \n",
       "1 0.0000%  ... 2.7803% 1.3017%  2.5991% 0.0000% 0.0000% 1.5193% 0.0000%   \n",
       "2 0.0000%  ... 3.0057% 0.0000%  0.1444% 0.0000% 0.0000% 4.0497% 0.0000%   \n",
       "3 0.0000%  ... 2.7297% 0.0000%  0.0000% 0.0000% 0.0000% 1.0953% 0.0000%   \n",
       "4 0.0000%  ... 1.2946% 0.0000%  0.0000% 0.0000% 0.0000% 0.8486% 0.0000%   \n",
       "\n",
       "      TXT      VZ    ZION  \n",
       "0 0.0000% 8.4239% 3.1925%  \n",
       "1 0.0000% 6.8473% 0.0000%  \n",
       "2 0.0000% 5.3224% 0.0000%  \n",
       "3 0.0000% 5.8182% 0.0000%  \n",
       "4 0.0000% 3.0849% 0.0000%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points = 40 # Number of points of the frontier\n",
    "\n",
    "frontier = port.efficient_frontier(model=model, rm=rm, points=points, rf=rf, hist=hist)\n",
    "\n",
    "display(frontier.T.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the efficient frontier\n",
    "\n",
    "label = 'Max Risk Adjusted Return Portfolio' # Title of point\n",
    "mu = port.mu # Expected returns\n",
    "cov = port.cov # Covariance matrix\n",
    "returns = port.returns # Returns of the assets\n",
    "\n",
    "ax = plf.plot_frontier(w_frontier=frontier, mu=mu, cov=cov, returns=returns, rm=rm,\n",
    "                       rf=rf, alpha=0.05, cmap='viridis', w=w, label=label,\n",
    "                       marker='*', s=16, c='r', height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting efficient frontier composition\n",
    "\n",
    "ax = plf.plot_frontier_area(w_frontier=frontier, cmap=\"tab20\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Estimating Risk Parity Portfolios for EDaR\n",
    "\n",
    "### 3.1 Calculating the risk parity portfolio for EDaR.\n",
    "\n",
    "The risk parity portfolio for the EDaR risk measure is the solution of the problem:\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\min_{w,\\, z} & & \\text{EDaR}_{\\alpha}(r w) - b \\ln(w)\\\\\n",
    "& & & 1^{T}w = 0 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "Where $w$ are the weights of assets, $b$ is the vector of constraints, by default is a vector of 1/(number of assets)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>1.0528%</td>\n",
       "      <td>4.2293%</td>\n",
       "      <td>2.6914%</td>\n",
       "      <td>2.2446%</td>\n",
       "      <td>3.5945%</td>\n",
       "      <td>9.1519%</td>\n",
       "      <td>2.6456%</td>\n",
       "      <td>7.1285%</td>\n",
       "      <td>2.4276%</td>\n",
       "      <td>1.9679%</td>\n",
       "      <td>...</td>\n",
       "      <td>5.5026%</td>\n",
       "      <td>2.2500%</td>\n",
       "      <td>12.5528%</td>\n",
       "      <td>2.3592%</td>\n",
       "      <td>2.9518%</td>\n",
       "      <td>1.7443%</td>\n",
       "      <td>3.9992%</td>\n",
       "      <td>1.3713%</td>\n",
       "      <td>11.1076%</td>\n",
       "      <td>2.4713%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 1.0528% 4.2293% 2.6914% 2.2446% 3.5945% 9.1519% 2.6456% 7.1285%   \n",
       "\n",
       "            HPQ     JCI  ...      NI    PCAR      PSA     SEE       T     TGT  \\\n",
       "weights 2.4276% 1.9679%  ... 5.5026% 2.2500% 12.5528% 2.3592% 2.9518% 1.7443%   \n",
       "\n",
       "            TMO     TXT       VZ    ZION  \n",
       "weights 3.9992% 1.3713% 11.1076% 2.4713%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = None # Risk contribution constraints vector\n",
    "\n",
    "w_rp = port.rp_optimization(model=model, rm=rm, rf=rf, b=b, hist=hist)\n",
    "\n",
    "display(w_rp.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plf.plot_pie(w=w_rp, title='Risk Parity EDaR', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                  height=8, width=12, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Plotting Risk Composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plf.plot_risk_con(w_rp, cov=port.cov, returns=port.returns, rm=rm, rf=0, alpha=0.05,\n",
    "                       color=\"tab:blue\", height=6, width=12, ax=None)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
